Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 187

The DOI matches its Crossref record.

Stereochemical modeling of disulfide bridges. Criteria for introduction into proteins by site-directed mutagenesis

Sowdhamini, R., Srinivasan, N., Shoichet, Brian, Santi, Daniel V., Ramakrishnan, C., Balaram, P.·1989·"Protein Engineering, Design and Selection"

Abstract

A computer modeling procedure for assessing the stereochemical suitability of pairs of residues in proteins as potential sites for introduction of cystine disulfide crosslinks has been developed. Residue pairs with C alpha-C alpha distances of less than or equal to 6.5 A and C beta-C beta distances of less than or equal to 4.5 A are chosen for geometrical fixation of S atoms using the program MODIP. The stereochemistry of the modeled disulfides is evaluated using limits for the structural parameters of the various torsion angles and S-S bond length in the disulfide bridge. The ability of the procedure to correctly model disulfides has been checked with examples of cystine peptides of known crystal structures and 103 disulfide bridges from 25 available protein crystal structures determined at less than or equal to 2 A resolution. An analysis of results on three proteins with engineered disulfides, T4 lysozyme, dihydrofolate reductase and subtilisin, is presented. Two positions for the introduction of 'stereochemically optimal' disulfides are identified in subtilisin.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/protein/3.2.95

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 187

Metadata

Authors
Sowdhamini, R., Srinivasan, N., Shoichet, B., Santi, D. V., Ramakrishnan, C., & Balaram, P.
Venue
"Protein Engineering, Design and Selection"
Published
1989
Volume
3
Issue
2
Pages
95-103
ISSN
  • 0269-2139 (ISSN-L)
  • 1741-0126
  • 1741-0134
OpenAlex
W2167071905
Cited by
187
References
0
FWCI
0.87
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Stereochemical modeling of disulfide bridges. Criteria for introduction into proteins by site-directed mutagenesis. https://app.cochat.ai/papers/10.1093/protein/3.2.95
The paper
Sowdhamini, R., Srinivasan, N., Shoichet, B., Santi, D. V., Ramakrishnan, C., & Balaram, P. (1989). Stereochemical modeling of disulfide bridges. Criteria for introduction into proteins by site-directed mutagenesis. "Protein Engineering, Design and Selection". https://doi.org/10.1093/protein/3.2.95

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.